Job Description
We are seeking an experienced
AI and Data Science Engineer with a solid foundation in
Java programming and
SQL-based data management. The ideal candidate will design, develop, and deploy scalable AI-driven applications and data pipelines, integrating predictive analytics into enterprise systems.
- Design & Develop AI/ML Solutions:
- Build and deploy predictive and prescriptive models using Python, TensorFlow, PyTorch, or similar frameworks.
- Work on NLP, computer vision, recommendation systems, or other applied AI projects.
- Data Engineering & Analytics:
- Develop and optimize data ingestion, transformation, and analysis pipelines.
- Use SQL and Java to process, clean, and analyze large structured/unstructured datasets.
- Integrate data-driven models into enterprise applications.
- Software Development:
- Build backend components and APIs using Java (Spring Boot or similar frameworks).
- Collaborate with DevOps teams to deploy models into production environments.
- Business Problem Solving:
- Work closely with business teams to understand objectives and translate them into AI/ML solutions.
- Generate insights from data to support data-driven decision-making.
- Performance Optimization & Monitoring:
- Tune model accuracy and application performance.
- Automate model retraining and monitoring pipelines.
Qualifications
- Experience Required: 5 to 8 years
- Education:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Core Technical Skills:
- AI / ML: Scikit-learn, TensorFlow, Keras, PyTorch, NLP frameworks.
- Programming: Strong in Java, good proficiency in Python and SQL.
- Data Handling: Experience with relational databases (MySQL, PostgreSQL, Oracle) and data visualization tools (Power BI, Tableau, or Matplotlib).
- APIs & Integration: RESTful API development and integration of ML models with Java applications.
- Big Data (Optional but Preferred): Exposure to Spark, Hadoop, or Kafka.
- Soft Skills:
- Strong problem-solving and analytical thinking.
- Excellent communication and teamwork skills.
- Ability to mentor junior team members and collaborate in cross-functional teams.
- Preferred Experience:
- Experience in AI project lifecycle data preparation, model building, deployment, and monitoring.
- Experience with MLOps tools (MLflow, Kubeflow, Docker, etc.).
- Familiarity with cloud platforms like AWS, Azure, or GCP.
- Experience working in Agile environments.
Additional Information
All your information will be kept confidential according to EEO guidelines.
